Ubiquitous Computing Systems

Research Staff

  • Prof. Keiichi Yasumoto

    Keiichi Yasumoto

  • Prof. Yutaka Aralawa

    Yutaka Aralawa

  • Assist.Prof. Hirohiko Suwa

    Hirohiko Suwa

  • Assist.Prof. Manato Fujimoto

    Manato Fujimoto

  • Assist.Prof. Teruhiro Mizumoto

    Teruhiro Mizumoto

E-mail { yasumoto, ara, h-suwa, manato, teruhiro-m }[at] is.naist.jp

Research Area

Ubiquitous computing systems utilize a lot of sensors and embedded/mobile devices in a harmonious manner and efficiently provide users with sophisticated services by recognizing real world contexts. Our lab conducts data collection, data analysis, and application development for solving the various challenging issues of real world. The main themes are as follows:

Smart home

Recognizing living activities in smart homes using sensor devices

Indoor positioning systems using lighting devices

Elderly monitoring systems using BLE devices

Smart life

E-health support for calorie control

Estimating heart rate variation during walking

Estimating hunger degree based on meal and exercise logs

Smart city

A context-aware photography support system based on social data analysis

Participatory sensing systems

Internet-less emergency communication systems

Key Features

We are conducting research using a smart home facility built within the university. This facility provides an actual home environment where various home appliances are deployed as in an ordinary household. In addition, this facility is equipped with special sensors including a high-accuracy indoor positioning system, wireless power meters, door sensors, and others. We are collecting data while subjects are actually living in this facility and develop various methods including activity recognition and automatic appliance control using the collected sensor data.
Each student selects research topics according to his/her own interests through several brainstorming meetings with advisers. Advisers provide students with kind and careful direction to advance their research as well as suggestions to improve their programming, writing, and presentation skills. Students receive various opportunities to present their research results at domestic/international workshops and conferences.

Fig.1 Home appliance control system through social network services

Fig.1 Smart Home

Fig.2 Support system for emergency rescue operations

Fig.2 Smart Life

Fig.3 Participatory sensing by mobile users

Fig.3 Smart-city